Creating a Dynamic plot Function with Different Titles in R

Learn how to create a versatile plotting function in R that displays different titles based on the points you want to map in France.
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This video is based on the question https://stackoverflow.com/q/67055881/ asked by the user 'Emeline' ( https://stackoverflow.com/u/13727756/ ) and on the answer https://stackoverflow.com/a/67056658/ provided by the user 'A.Chrlt' ( https://stackoverflow.com/u/15036348/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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How to Create a Plot Function with Distinct Titles in R

When working with R and visualizing data, you may often encounter the need to create maps or plots that highlight specific points of interest. In this guide, we'll explore how to create a function to plot different locations on a map of France, and how to dynamically change the title of the plot based on the points you are visualizing. Let's dive in!

The Problem

Imagine you want to create a map of France that displays various locations by marking their coordinates on the map. You might have multiple data points, and you want each plot to have a title that corresponds to the specific point being displayed. However, you find that your initial code does not allow you to change the title dynamically based on the point's name. This can make it challenging to interpret the maps if you’re plotting multiple points.

The Original Code

Here is a simple setup using the raster package in R, which allows for the plotting of geographical data:

[[See Video to Reveal this Text or Code Snippet]]

The code works fine for plotting the locations, but all your plots have the same title: "Name of the point". This is where we need improvement.

The Solution: Dynamic Titles with ensym()

To solve the issue of changing titles dynamically, we can utilize the ensym() function. This function allows us to capture a symbol (or name) that we pass to the plotting function, enabling us to customize the main title of the plot based on the point being plotted.

Steps to Implement the Solution

Load Required Libraries: Ensure you have the raster package installed and loaded.

Define the Points: Create your data points as data frames, as shown in the original setup.

Modify the Function: Adjust the cartes function to include ensym() in the plot title.

Here is the updated code with dynamic titles:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of Changes

Additional Parameter: The name parameter allows you to set the title based on the identifier for each point.

Using ensym(): This captures the name argument correctly, and it can now be utilized in the title of the plot.

Conclusion

With the above modifications, your plotting function can now provide a clear and informative title for each map that corresponds to the specific points being visualized. This enhancement not only improves the understanding of the data presented but also modernizes your approach to creating dynamic and interactive visualizations in R.

By following these steps, you can easily adapt your plot function, not just for France, but for other geographical data as well. Happy plotting!

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